Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)

Payam Nejat; John Kaiser Calautit; Muhd Zaimi Abd Majid; Ben Richard Hughes; Fatemeh Jomehzadeh

doi:10.1016/j.dib.2016.08.042

Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)

Data Brief. 2016 Aug 28:9:252-6. doi: 10.1016/j.dib.2016.08.042. eCollection 2016 Dec.

Authors

Payam Nejat¹, John Kaiser Calautit², Muhd Zaimi Abd Majid³, Ben Richard Hughes², Fatemeh Jomehzadeh⁴

Affiliations

¹ Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM, Skudai, Johor, Malaysia.
² Department of Mechanical Engineering, University of Sheffield, Sheffield, UK.
³ Construction Research Center, Institute of Smart Infrastructure and Innovative Construction, Universiti Teknologi Malaysia, Johor, Malaysia.
⁴ Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM, Skudai, Johor, Malaysia; Advanced Built and Environment Research (ABER) center, Tehran, Iran.

Abstract

This article presents the datasets which were the results of the study explained in the research paper 'Anti-short-circuit device: a new solution for short-circuiting in windcatcher and improvement of natural ventilation performance' (P. Nejat, J.K. Calautit, M.Z. Abd. Majid, B.R. Hughes, F. Jomehzadeh, 2016) [1] which introduces a new technique to reduce or prevent short-circuiting in a two-sided windcatcher and also lowers the indoor CO2 concentration and improve the ventilation distribution. Here, we provide details of the numerical modeling set-up and data collection method to facilitate reproducibility. The datasets includes indoor airflow, ventilation rates and CO2 concentration data at several points in the flow field. The CAD geometry of the windcatcher models are also included.